The role involves developing complex mathematical models including credit origination and pricing scorecards to support critical decision-making processes
Job Summary
The role involves developing complex mathematical models including credit origination and pricing scorecards to support critical decision-making processes.
Candidates must apply statistical techniques to analyze trends, uncover risks, and create robust model development datasets using internal and external data sources.
The position requires ensuring modeling projects comply with company policies and U.S. Federal Reserve regulations such as SR 11-07.
Matching Summary
The role involves developing complex mathematical models including credit origination and pricing scorecards to support critical decision-making processes.
Salary
Base: $65,625.00 - $145,000.00 USD annually; Bonus/Equity: Not specified; Benefits: Comprehensive rewards package including health and well-being support
Skills & Requirements
Must-have
Bachelor's degree in quantitative discipline
3+ years analytics in financial services
Proficiency in SQL and Python
Experience with logistic regression and neural networks
Ability to merge large datasets
Nice-to-have
Master's or Ph.D. in Statistics or Economics
Indirect subprime auto financial services experience
Prior credit bureau data experience
Strong communication skills for executive summaries